RAG ImplementationPrivate & Sovereign AI Platforms

RAG Systems on Private & Sovereign Platforms

Deploy RAG pipelines in air-gapped and sovereign environments where data cannot leave your infrastructure. We build retrieval systems on private GPU clusters with full governance.

RAG Implementation Capabilities for Private & Sovereign AI Platforms

Air-gapped RAG deployment

Sovereign vector database hosting

Private embedding model serving

Governed retrieval with access controls

On-premise chunking and ingestion

Use Cases

1

Classified document retrieval for defence agencies

2

Healthcare RAG with HIPAA-compliant infrastructure

3

Financial research RAG in sovereign environments

4

Legal document Q&A on private platforms

Integration Details

RAG Implementation

Retrieval-Augmented Generation systems that deliver accurate, grounded responses. We solve the hard problems: chunking, retrieval quality, and hallucination prevention.

All embedding modelsVector databasesDocument pipelinesLLM providersEnterprise systems

Private & Sovereign AI Platforms

Designing air-gapped and regulator-aligned AI estates that keep sensitive knowledge in your control. NVIDIA DGX, OCI, and custom GPU clusters with secure ingestion, tenancy isolation, and governed retrieval.

NVIDIA DGX & HGXOracle Cloud Infrastructure AIAzure OpenAI Private LinkAWS Bedrock Private FMConfidential Computing Controls

Ready to Implement RAG Implementation for Private & Sovereign AI Platforms?

Let's discuss how we can help you leverage rag implementation within your private & sovereign ai platforms strategy.

Get in Touch